Crop yield estimation at district level for agricultural seasons 2014 in Rwanda

Abstract

In this paper, we discuss an application of Small Area Estimation (SAE) techniques under a multivariate linear regression model for repeated measures data to produce district level estimates of crop yield for beans which comprise two varieties, bush beans and climbing beans in Rwanda during agricultural seasons 2014. By using the micro data of National Institute of Statistics of Rwanda (NISR) obtained from the Seasonal Agricultural Survey (SAS) 2014 combined with the data from the Crop Assessment Survey 2013, we derive efficient estimates which show considerable gain. The considered model and its estimates may be useful for policy-makers or for further analyses.